ArticleFrontiers in psychology2024
SEMbeddings: how to evaluate model misfit before data collection using large-language models.
Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Deep Semantics Analysis for Scale Development: Replicating Psychometrics Validation Process with Large Language Models.Behavioral sciences (Basel, Switzerland) · 2026Article
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Abstract
Introduction: Recent developments suggest that Large Language Models (LLMs) provide a promising approach for approximating empirical correlation matrices of item responses by utilizing item embeddings and their cosine similarities. In this paper, we introduce a novel tool, which we label Methods: This tool integrates Results: Our analysis shows a significant, though not perfect, correlation ( Discussion: As LLMs become increasingly precise and new fine-tuned models are released, these procedures have the potential to deliver more reliable results, potentially transforming the way new questionnaires are developed.
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